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Abstract #2390

CMR Acceleration using iterative k-t-sparse SENSE reconstruction

Bradley D Allen 1 , Maria Carr 1 , Michael O Zenge 2 , Michaela Schmidt 2 , Mariappan S Nadar 3 , Bruce Spottiswoode 4 , Jeremy D Collins 1 , and James C Carr 1

1 Department of Radiology, Northwestern University, Chicago, IL, United States, 2 Siemens AG, Healthcare Sector, Erlangen, Bavaria, Germany, 3 Siemens Corporate Technology, Princeton, NJ, United States, 4 Siemens Healthcare USA, Inc., Chicago, IL, United States

Clinical CMR is an important diagnostic tool but can be limited by the requirement for patient-breath holding to achieve high quality images. Accelerated CMR acquisitions can help to overcome this challenge. Iterative k-t-sparse SENSE reconstruction with L1 regularization along one spatial and temporal dimension is an investigational acceleration technique that has the potential to dramatically reduce scan time. In this study, we applied this technique in patients undergoing CMR. While there was some regional variability in image quality, scan times were reduced by >50% per slice.

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